Spatial domain decomposition methods have been largely investigated in the last decades, while time domain decomposition seems to be contrary to intuition and so is not as popular as the former. However, many attractive methods have been proposed, especially the parareal algorithm, which showed both theoretical and experimental efficiency in the context of parallel computing. In this paper, we present an original model of asynchronous variant based on the parareal scheme, applied to the European option pricing problem. Some numerical experiments are given to illustrate the convergence performance and computational efficiency of such a method
The parareal algorithm is a method to solve time dependent problems parallel in time: it approximate...
We show how computations such as those involved in American or European-style option price valuatio...
In this paper, we present a transform-based algorithm for pricing discretely monitored arithmetic As...
Spatial domain decomposition methods have been largely investigated in the last decades, while time ...
International audienceAsynchronous iterations have been investigated more and more for both scaling ...
International audienceIn relation with the mathematics of financial applications, the present study ...
AbstractThis note provides a description of the parareal method for American contracts, a numerical ...
In this paper, we propose a variant of the parareal algorithm for time-dependent problems involving ...
International audienceThis paper deals with the numerical solution of financial applications, more s...
International audienceIn this paper, we consider the problem of accelerating the numerical simulatio...
In this paper, we consider the problem of accelerating the numerical simulation of time dependent pr...
Parareal is a novel algorithm that allows the solution of time-dependent systems of differential or ...
The parareal algorithm is a method to solve time-dependent problems parallel in time: it approximate...
The parareal algorithm is a method to solve time-dependent problems parallel in time: it approximate...
The parareal algorithm is a method to solve time dependent problems parallel in time: it approximate...
We show how computations such as those involved in American or European-style option price valuatio...
In this paper, we present a transform-based algorithm for pricing discretely monitored arithmetic As...
Spatial domain decomposition methods have been largely investigated in the last decades, while time ...
International audienceAsynchronous iterations have been investigated more and more for both scaling ...
International audienceIn relation with the mathematics of financial applications, the present study ...
AbstractThis note provides a description of the parareal method for American contracts, a numerical ...
In this paper, we propose a variant of the parareal algorithm for time-dependent problems involving ...
International audienceThis paper deals with the numerical solution of financial applications, more s...
International audienceIn this paper, we consider the problem of accelerating the numerical simulatio...
In this paper, we consider the problem of accelerating the numerical simulation of time dependent pr...
Parareal is a novel algorithm that allows the solution of time-dependent systems of differential or ...
The parareal algorithm is a method to solve time-dependent problems parallel in time: it approximate...
The parareal algorithm is a method to solve time-dependent problems parallel in time: it approximate...
The parareal algorithm is a method to solve time dependent problems parallel in time: it approximate...
We show how computations such as those involved in American or European-style option price valuatio...
In this paper, we present a transform-based algorithm for pricing discretely monitored arithmetic As...